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military performance, presenteeism, and may even lead to costly evacuations during deployments. This PhD project builds upon pioneering research at MHQA and aims to implement and evaluate allergy screening
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. explainability) and computational linguïstics (e.g. computational creativity), the central aim of this PhD is to design, develop and evaluate new multimodal “phygital” interaction methods. These interaction
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EU programme Reference Number BAP-2025-583 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Job Pursue your PhD dissertation: Participate in the PhD
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Number BAP-2025-545 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is part of the Marie Skłodowska-Curie Doctoral Network “MAGNIFY” and aims to tackle
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to solve. In this PhD project, you will work on the characterisation of both spectrographs in the lab, and their commissioning at the observatory for MARVEL or in orbit after launch for CubeSpec. Furthermore
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dimensionality reduction as well as analysis of blood proteomic data. We are looking for a student with experience in bioinformatics and relevant statistical methods using R or Python languages. Some knowledge of
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. The precise details of the project will be worked out through constructive consultation between the Phd student and the three supervisors throughout the four-year program. Guaranteed funding is provided
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of the Flemish VLAIO Flux50 SBO-project "NudgeFlow: The next generation of residential ventilation - tweaking the natural air flow with distributed components", we are offering a PhD position focused on developing
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the early Eocene hyperthermals has so far not been constrained for shallow marine ecosystems. The goal of this PhD project is to assess the sensitivity of marine ecosystems in NW Europe to climate change
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for photocatalytic degradation and H2 production.Designing multi-objective optimization algorithms to maximize environmental and economic performance. Your RoleAs a PhD researcher, you will: Build and validate hybrid